Skip to main content
. Author manuscript; available in PMC: 2010 Sep 1.
Published in final edited form as: Am J Orthod Dentofacial Orthop. 2009 Sep;136(3):460–470. doi: 10.1016/j.ajodo.2009.04.016

Fig 4. Registration and superimposition of sequential CBCT images.

Fig 4

A, Dolphin Imaging uses a landmark-based registration process that allows the user to manually refine the relative position of the CBCT images until, B, stable structures are matching. C, Once registered, semitransparency visualization allows the user to measure and assess changes. D, The 3dMDvultus software uses a surface-based registration process in which the first 2 images are manually positioned; E, anatomically stable surfaces are selected, and the program refines the registration by matching those surfaces; once registered, changes can be determined. F, Surgical outcome assessment—in this case, maxillary advancement, autorotation of the mandible and genioplasty—can be measured and visualized in the volumetric rendered image and the stack of slices. G and H, Different InVivoDental visualizations of the registered volumes.